From Lower Disease Risk Perception to Higher News Avoidance: Analysis of News Consumption and Attitude Toward COVID-19 News in Latvia
Sandra Murinska 1 * ,
Anda Rožukalne 2,
Ieva Strode 3 More Detail
1 Rezekne Academy of Technologies, LATVIA
2 Riga Stradiņš University, LATVIA
3 University of Latvia, LATVIA
* Corresponding Author
Online Journal of Communication and Media Technologies, Volume 12, Issue 3, Article No: e202216.
https://doi.org/10.30935/ojcmt/12026
OPEN ACCESS 2687 Views 1078 Downloads Published online: 16 Apr 2022
ABSTRACT
Recognizing that regular information during a pandemic helps societies navigate through a period of insecurity, the aim of this study is to understand how news about different aspects of the COVID-19 pandemic affects the attitude of media audiences towards news. This study seeks to explain the society’s news consumption and the attitude towards COVID-19 news in Latvia linking it to self-evaluation of the perceived disease risk. A national survey data (September 2020, N=1,005) analysis shows a statistically significant but weak correlation between disease risk self-evaluation and the attitude towards pandemic news. Respondents who rate the risk of the disease as higher and real are more interested in news, consume news to create a sense of security, feel less fatigue towards news, and are less likely to avoid COVID-19 news. Respondents who believe that the risk of illness is low and unreal, are less interested in news, feel more tired, avoid the news more often.
CITATION
Murinska, S., Rožukalne, A., & Strode, I. (2022). From Lower Disease Risk Perception to Higher News Avoidance: Analysis of News Consumption and Attitude Toward COVID-19 News in Latvia.
Online Journal of Communication and Media Technologies, 12(3), e202216.
https://doi.org/10.30935/ojcmt/12026
REFERENCES
- Aharoni, T., Kligler-Vilenchik, N., Tenenboim-Weinblatt, K. (2021). ’Be less of a slave to the news’: A texto-material perspective on news avoidance among Young adults. Journalism Studies, 22(1), 42-59. https://doi.org/10.1080/1461670X.2020.1852885
- Anderson, M., & Quinn, D. (2019, August 8). 46% of U.S. social media users say they are ‘worn out’ by political posts and discussions. Pew Research Center. https://www.pewresearch.org/fact-tank/2019/08/08/46-of-u-s-social-media-users-say-they-are-worn-out-by-political-posts-and-discussions/
- Bawden, D., & Robinson, L. (2009). The dark side of information: Overload, anxiety and other paradoxes and pathologies. Journal of Information Science, 35(2), 180-191. https://doi.org/10.1177/0165551508095781
- Becker, M. H., Radius, S. M., & Rosenstock, I. M. (1978). Compliance with a medical regimen for asthma: A test of the health belief model. Public Health Reports, 93(3), 268-277. https://doi.org/10.1177/109019818401100101
- Brewer, N. T., Chapman, G. B., Gibbons, F. X., Gerrard, M., McCaul, K. D., & Weinstein, N. D. (2007). Meta–analysis of the relationship between risk perception and health behavior: The example of vaccination. Health Psychology, 26(2),136-145. https://doi.org/10.1037/0278–6133.26.2.136
- Brewer, N. T., Weinstein, N. D., Cuite, C. L., & Herrington, J. E. (2004). Risk perceptions and their relation to risk behaviour. Annals of Behavioural Medicine, 27(2), 125-130. https://doi.org/10.1207/s15324796abm2702_7
- Bright, L. F., Kleiser, S. B., & Grau, S. L. (2015). Too much Facebook? An exploratory examination of social media fatigue. Computers in Human Behavior, 44, 148-155. https://doi.org/10.1016/j.chb.2014.11.048
- Casero-Ripollés, A. (2020). Impact of COVID-19 on the media system. Communicative and democratic consequences of news consumption during the outbreak. Profesional de la Información [Information Professional], 29(2), e290223. https://doi.org/10.3145/epi.2020.mar.23
- Casero-Ripollés, A. (2021). The impact of COVID-19 on journalism: A set of transformations in five domains. Comunicação e Sociedade [Communication and Society], 40, 53-69. https://doi.org/10.17231/comsoc.40(2021).3283
- COVID-19 Barometer. (2020, April 1). KANTAR COVID-19 barometrs. https://www.kantar.lv/kantar-covid-19-barometrs/
- Crook, B., Stephens, K. K., Pastorek, A. E., Mackert, M., & Donovan, E. E. (2016). Sharing health information and influencing behavioural intentions: The role of health literacy, information overload, and the Internet in the diffusion of healthy heart information. Health Communication, 31(1), 60-71. https://doi.org/10.1080/10410236.2014.936336
- de Bruin K., de Haan, Y., Vliegenthart, R., Kruikemeier, S., & Boukes, M. (2021). News avoidance during the COVID-19 crisis: Understanding information overload. Digital Journalism, 9(9), 1286-1302. https://doi.org/10.1080/21670811.2021.1957967
- de Bruin, W. B., & Bennett, D. (2020). Relationships between Initial COVID-19 risk perceptions and protective health behaviours: A national survey. American Journal of Preventive Medicine, 59(2), 157-167. https://doi.org/10.1016/j.amepre.2020.05.001
- de Zúñiga, H. G., & Diehl, T. (2019). News finds me perception and democracy: Effects on political knowledge, political interest, and voting. New Media & Society, 21(6), 1253-1271. https://doi.org/10.1177/1461444818817548
- Deuze, M. (2020). The role of media and mass communication theory in the global pandemic. Communication Today, 11(2), 4-16.
- Dhanani, L. Y., Franz, B. (2020). The role of news consumption and trust in public health leadership in shaping COVID-19 knowledge and prejudice. Frontiers in Psychology, 11, 560828. https://doi.org/10.3389/fpsyg.2020.560828
- Edgerly, S., Vraga, E. K., Bode, L., Thorson, K., & Thorson, E. (2018). New media, new relationship to participation? A closer look at youth news repertoires and political participation. Journalism & Mass Communication Quarterly, 95(1), 192-212. https://doi.org/10.1177/1077699017706928
- Eppler, M. J., & Mengis, J. (2004). The concept of information overload: A review of literature from organization science, accounting, marketing, MIS, and related disciplines. Information Society, 20(5), 325-344. https://doi.org/10.1080/01972240490507974
- Farhoomand, A. F., & Drury, D. H. (2002). Managerial information overload. Communications of the ACM, 45(10), 127-131. https://doi.org/10.1145/570907.570909
- Fedeli, S., & Matsa, K. E. (2018, July 17). Use of mobile devices for news continues to grow, outpacing desktops and laptops. Pew Research Center. https://www.benton.org/headlines/use-mobile-devices-news-continues-grow-outpacing-desktops-and-laptops
- Ferreira, G. B., & Borges, S. (2020). Media and misinformation in times of COVID-19: How people informed themselves in the days following the Portuguese Declaration of the State of Emergency. Journalism and Media, 1(1),108-121. https://doi.org/10.3390/journalmedia1010008
- Fischer, P., Schulz-Hardt, S., & Frey, D. (2008). Selective exposure and information quantity: How different information quantities moderate decision makers’ preference for consistent and inconsistent information. Journal of Personality and Social Psychology, 94(2), 231-244. https://doi.org/10.1037/0022-3514.94.2.94.2.231
- Fletcher, R., Kalogeropoulos, A., & Nielsen, R. K. (2020, July 28). News avoidance in the UK remains high as lockdown restrictions are eased. Reuters Institute for the Study of Journalism. https://reutersinstitute.politics.ox.ac.uk/news-avoidance-uk-remains-high-lockdown-restrictions-are-eased
- Frissen, T., De Coninck, D., Matthys, K., & d’Haenens, L. (2020). Longitudinal evidence of how media audiences differ in public health perceptions and behaviours during a global pandemic. Public Health, 8, 583408. https://doi.org/10.3389/fpubh.2020.583408
- Gottfried, J. (2016, July 14). Most Americans already feel election coverage fatigue. Pew Research Center. https://www.pewresearch.org/fact-tank/2016/07/14/most-americans-already-feel-election-coverage-fatigue/
- Gottfried, J. (2020, February 26). Americans’ news fatigue isn’t going away–about two thirds still feel worn out. Pew Research Center. https://www.pewresearch.org/fact-tank/2020/02/26/almost-seven-in-ten-americans-have-news-fatigue-more-among-republicans/
- Gottfried, J., & Barthel, M. (2018, June 5). Almost seven-in-ten Americans have news fatigue, more among Republicans. Pew Research Center. http://www.pewresearch.org/fact-tank/2018/06/05/almost-seven-in-ten-americans-have-news-fatigue-more-among-republicans/
- Holton, A. E., & Chyi, H. I. (2012). News and the overloaded consumer: Factors influencing information overload among news consumers. Cyberpsychology, Behavior and Social Networking, 15(11), 619-624. https://doi.org/10.1089/cyber.2011.0610
- Hua, J. N., & Howell, J. L. (2020). Coping self-efficacy influences health information avoidance. Journal of Health Psychology, 27(3). https://doi.org/10.1177/1359105320965664
- Igartua, J. J., Ortega-Mohedano, F., & Arcila-Calderón, C. (2020). Communication use in the times of the coronavirus. A cross-cultural study. El Profesional de la Información [The Information Professional], 29(3), e290318. https://doi.org/10.3145/epi.2020.may.18
- Islam, A. K. M., Whelan, E., & Brooks, S. (2018, August 16-18). Social media overload and fatigue: The moderating role of multitasking computer self-efficacy [Paper presentation]. The 24th American Conference on Information Systems, New Orleans, LA, USA.
- Janssen, R., & de Poot, H. (2006). Information overload: Why some people seem to suffer more than others. In Proceedings of the 4th Nordic Conference on Human-Computer Interaction 2006 (pp. 397-400). https://doi.org/10.1145/1182475.1182521
- Jenkins, H. (2006). Convergence culture: Where old and new media collide. New York University Press.
- Jurkowitz, M. (2020, May 22). Americans are following news about presidential candidates much less closely than COVID-19 news. Pew Research Center. https://www.pewresearch.org/fact-tank/2020/05/22/americans-are-following-news-about-presidential-candidates-much-less-closely-than-covid-19-news/
- Karlsen, R., Beyer, A., & Steen-Johnsen, K. (2020). Do high-choice media environments facilitate news avoidance? A longitudinal study 1997-2016. Journal of Broadcasting & Electronic Media, 64(5), 794-814. https://doi.org/10.1080/08838151.2020.1835428
- Katz, E., Blumler, J. G., & Gurevitch, M. (1974). Utilization of mass communication by the individual. In J. G. Blumler, & E. Katz (Eds.), The uses of mass communications: Current perspectives on gratifications research (pp. 19-31). SAGE.
- Kramp, L., Carpenter, N., Hepp, A., Kunelious, R., Nieminen, H., Olsson, T., Pruulman-Vengerfeldt, P., Trivundža, I. T., Tosoni, S. (Eds). (2016). Politics, civil society and participation: Media and communication in transforming environment. The University of Bremen, the European Communication Research and Education Association, and the Slovene Communication Association.
- Lee, S. W. S., Schwarz, N., Taubman, D., & Hou, M. (2010). Sneezing in times of a flu pandemic: Public sneezing increases perception of unrelated risks and shifts preferences for federal spending. Psychological Science, 21(3), 375-377. https://doi.org/10.1177/0956797609359876
- Levy, M. R., & Windhal, S. (1984). Audience activity and gratification. Communication Research, 11(1), 51-78. https://doi.org/10.1177/009365084011001003
- Mārtinsone, K., & Sudraba V. (2016). Veselības psiholoģija [Health psychology]. RSU.
- McQuail, D. (2010). McQuail’s mass communication theory. SAGE.
- McQuail, D., & Deuze, M. (2020). McQuails’ media and mass communication theory. SAGE.
- Misra, S., & Stokols, D. (2012). Psychological and health outcomes of perceived information overload. Environment and Behavior, 44(6), 737-759. https://doi.org/10.1177/0013916511404408
- Mora-Rodríguez, A., & Melero-López, I. (2021). News consumption and risk perception of COVID-19 in Spain. Comunicar [To communicate], 29(66), 71-81. https://doi.org/10.3916/C66-2021-06
- NEPLP. (2017, December). Radio patēriņš dažādās platformās un attīstības prognozes [The consumption of the radio consumption on the different platforms and forecasts of the development]. https://www.neplpadome.lv/lv/assets/documents/Petijumi/4946_KantarTNS_NEPLP_Radio_PREZENTACIJA_11.01.2017.pdf
- NEPLP. (2018, July 28). Pētījums par Latvijas iedzīvotāju interesēm, dienaskārtību un uzticēšanos medijiem [The Study on the interests of Latvian population, agenda and trust the media]. https://www.neplpadome.lv/lv/assets/documents/Petijumi/Mediju_lieto%C5%A1ana_atskaite_08.2018_%20(002).pdf
- NEPLP. (2020, October). Pētījums par Latvijas iedzīvotāju mediju satura lietošanas paradumiem un sabiedrības vajadzībām [The study of the media content use habits of the Latvian population and the needs of the society]. https://www.neplpadome.lv/lv/sakums/academia/petijumi.html
- Newman, N., Fletcher, R., Kalogeropoulos, A., Levy, D. A. L., & Nielsen, R. K. (2017). Reuters Institute digital news report 2017. Reuters Institute for the Study of Journalism. https://reutersinstitute.politics.ox.ac.uk/sites/default/files/Digital%20News%20Report%202017%20web_0.pdf
- Newman, N., R. Fletcher, A. Schulz, Andi, S., & Nielsen, R. K. (2020). Reuters Institute digital news report (2020). Reuters Institute for the Study of Journalism. https://reutersinstitute.politics.ox.ac.uk/sites/default/files/Digital%20News%20Report%202017%20%20web_0.pdf
- Orom, H., Biddle, C., Waters, E. A., Kiviniemi, M. T., Sosnowski, A. N., & Hay, J. L. (2020). Causes and consequences of uncertainty about illness risk perceptions. Journal of Health Psychology, 25(8), 1030-1042. https://doi.org/10.1177/1359105317745966
- Palmer, R., & Toff, B. (2019). From news fatigue to news avoidance. NiemanLab. https://www.niemanlab.org/2018/12/from-news-fatigue-to-news-avoidance/
- Park, C. S. (2019). Does too much news on social media discourage news seeking? Mediating role of news efficacy between perceived news overload and news avoidance on social media. Social Media + Society, 5(3), 1-12. https://doi.org/10.1177/2056305119872956
- Pentina, I., & Tarafdar, M. (2014). From “information” to “knowing”: Exploring the role of social media in contemporary news consumption. Computers in Human Behavior, 35, 211-223. https://doi.org/10.1016/j.chb.2014.02.045
- Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. Advances in Experimental Social Psychology, 19, 123-205. https://doi.org/10.1016/S0065-2601(08)60214-2
- Powell, T. E., Hameleers, M., & van der Meer, T. G. L. A. (2021). Selection in a snapshot? The contribution of visuals to the selection and avoidance of political news in information-rich media settings. The International Journal of Press/Politics, 26(1), 46-68. https://doi.org/10.1177/1940161220966730
- Rosenstock, I. M. (1974). Historical origins of the health belief model. Health Education Monographs, 2(4), 328-335. https://doi.org/10.1177/109019817400200405
- Rubin, A. M. (1993). Audience activity and media use. Communication Monographs, 60(1), 98-105. https://doi.org/10.100/03637759309376300
- Ruggiero, T. E. (2000). Uses and gratifications theory in the 21st century. Mass Communication & Society, 3(1), 3-37. https://doi.org/10.1207/S15327825MCS0301_02
- Sarwar, F., Panatik, S. A., & Jameel, H. T. (2020). Understanding public’s adoption of preventive behavior during COVID-19 pandemic using health belief model: Role of appraisals and psychological capital. https://doi.org/10.31124/advance.12661178.v1
- Savolainen, R. (2007). Filtering and withdrawing: Strategies for coping with information overload in everyday contexts. Journal of Information Science, 33(5), 611-621. https://doi.org/10.1177/0165551506077418
- Severin, W. J. (2000). Communication theories: Origins, methods, and uses in the mass media. Addison Wesley.
- Shearer, E. (2018, December 10). Social media outpaces print newspapers in the U.S. as a news source. Pew Research Center. https://www.pewresearch.org/fact-tank/2018/12/10/social-media-outpaces-print-newspapers-in- the-u-s-as-a-news-source/
- Shearer, E., & Gottfried, J. (2017, September 7). News use across social media platforms 2017. Pew Research Center. http://www.journalism.org/2017/09/07/news-use-across- social-media-platforms-2017/
- Siaki, L. A., & Loescher, L. J. (2011). Pacific Islanders’ perceived risk of cardiovascular disease and diabetes. Journal of Transcultural Nursing, 22(2), 191-200. https://doi.org/10.1177/1043659610395763
- SKDS/State Chancellery. (2021). Pētījums par sabiedrības attieksmi pret COVID-19. Latvijas iedzīvotāju aptauja [Public attitudes towards COVID-19. Survey of Latvian residents]. http://petijumi.mk.gov.lv/sites/default/files/title_file/SKDS_Feb2021.pdf
- Song, H., Jung, J., & Kim, Y. (2017). Perceived news overload and its cognitive and attitudinal consequences for news usage in South Korea. Journalism & Mass Communication Quarterly, 94(4), 1172-1190. https://doi.org/10.1177/1077699016679975
- Sweeny, K., Melnyk, D., Miller, W., & Shepperd, J. A. (2010). Information avoidance: Who, what, when, and why. Review of General Psychology, 14(4), 340-353. https://doi.org/10.1037/a0021288
- Van den Bulck, J. (2006). Television news avoidance: Exploratory results from a one-year follow-up study. Journal of Broadcasting & Electronic Media, 50(2), 231-252. https://doi.org/10.1207/s15506878jobem5002_4
- van der Weijden, T., van Steenkiste, B., Stoffers, H. E., Timmermans, D. R., & Grol, R. (2007). Primary prevention of cardiovascular diseases in general practice: Mismatch between cardiovascular risk and patients’ risk perceptions. Medical Decision Making, 27(6), 754-761. https://doi.org/10.1177/0272989X07305323
- Villi, M., Aharoni, T., Tenenboim-Weinblatt, K., Boczkowski, P. J., Hayashi, K., Mitchelstein, E., Tanaka, A., & Kligler-Vilenchik, N. (2021). Taking a break from news: A five-nation study of news avoidance in the digital era. Digital Journalism,10(1), 148-164. https://doi.org/10.1080/21670811.2021.1904266
- Wilson, T. D. (1999). Exploring models of information behaviour: The ‘uncertainty’ project. Information Processing and Management, 35(6), 839-849. https://doi.org/10.1108/EUM0000000007145
- Woodstock, L. (2014). The news-democracy narrative and the unexpected benefits of limited news consumption: The case of news resisters. Journalism, 15(7), 834-849. https://doi.org/10.1177/1464884913504260
- Yang, Z. J., & Kahlor, L. (2013). What, me worry? The role of affect in information seeking and avoidance. Science Communication, 35(2), 189-212. https://doi.org/10.1177/1075547012441873
- Yaniv, I., Benador, D., & Sagi, M. (2004). On not wanting to know and not wanting to inform others: Choices regarding predictive genetic testing. Risk, Decision & Policy, 9(4), 317-336. https://doi.org/10.1080/14664530490896573
- York, C. (2013). Overloaded by the news: Effects of news exposure and enjoyment on reporting information overload. Communication Research Reports, 30(4), 282-292. https://doi.org/10.1080/08824096.2013.836628
- York, C., & Turcotte, J. (2015). Vacationing from Facebook: Adoption, temporary discontinuance, and readoption of an innovation. Communication Research Reports, 32(1), 54-62. https://doi.org/10.1080/08824096.2014.989975
- Zalc, J., & Maillard, R. (2020). Uncertainty/EU/hope. Public opinion in times of COVID-19. European Parliament. https://www.europarl.europa.eu/at-your-service/files/beheard/eurobarometer/2020/public_opinion_in_the_eu_in_time_of_coronavirus_crisis/report/en-covid19-survey-report.pdf